Greedy Function Optimization in Learning to Rank
Listwise Approach to Learning to Rank - Theory and Algorithm
Optimizing Estimated Loss Reduction for Active Sampling in Rank Learning
Computational advertising: business models, technologies and issues (CoAd)
BoltzRank: Learning to Maximize Expected Ranking Gain
Exploiting Geographic Dependencies for Real Estate Appraisal
Quality-Biased Ranking of Web Documents
Large Scale Ranking Problem: some theoretical and algorithmic issues
Probabilistic models for ranking and information extraction
Challenges in online learning to rank for information retrieval